Semi-Supervised Text Classification

11 papers with code • 2 benchmarks • 1 datasets

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Latest papers with code

Semi-Supervised Text Classification via Self-Pretraining

p-karisani/self_pretraining 30 Sep 2021

This set is used to initialize the second classifier, to be further trained by the set of labeled documents.

Classification Semi Supervised Text Classification +1

30 Sep 2021

FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks

valuesimplex/flitext 12 Sep 2021

In natural language processing (NLP), state-of-the-art (SOTA) semi-supervised learning (SSL) frameworks have shown great performance on deep pre-trained language models such as BERT, and are expected to significantly reduce the demand for manual labeling.

Semi Supervised Text Classification Semi-Supervised Text Classification

12 Sep 2021

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

DevSinghSachan/ssl_text_classification AAAI 2019 2019

In this paper, we study bidirectional LSTM network for the task of text classification using both supervised and semi-supervised approaches.

Classification General Classification +6

08 Sep 2020

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

GT-SALT/MixText ACL 2020

This paper presents MixText, a semi-supervised learning method for text classification, which uses our newly designed data augmentation method called TMix.

Classification Data Augmentation +3

25 Apr 2020

Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses

GT-SALT/AAAI_CLF 23 Apr 2020

We present semi-supervised models with data augmentation (SMDA), a semi-supervised text classification system to classify interactive affective responses.

Data Augmentation Semi Supervised Text Classification +2

23 Apr 2020

Semi-Supervised Learning with Normalizing Flows

izmailovpavel/flowgmm ICML 2020

Normalizing flows transform a latent distribution through an invertible neural network for a flexible and pleasingly simple approach to generative modelling, while preserving an exact likelihood.

Semi-Supervised Image Classification Semi Supervised Text Classification +1

30 Dec 2019

Variational Pretraining for Semi-supervised Text Classification

allenai/vampire ACL 2019

We accompany this paper with code to pretrain and use VAMPIRE embeddings in downstream tasks.

Classification General Classification +2

05 Jun 2019

Adversarial Dropout for Recurrent Neural Networks

sungraepark/adversarial_dropout_text_classification 22 Apr 2019

Successful application processing sequential data, such as text and speech, requires an improved generalization performance of recurrent neural networks (RNNs).

Language Modelling Semi Supervised Text Classification +1

22 Apr 2019

Deconvolutional Paragraph Representation Learning

dreasysnail/deconv_paragraph_represention NeurIPS 2017

Learning latent representations from long text sequences is an important first step in many natural language processing applications.

General Classification Representation Learning +2

16 Aug 2017